Title :
TPQA: Three point quadrature approximation MPPT algorithm
Author :
Marzouk, Ahmad M. ; Abdelmoaty, Ahmed A. ; Helmy, Ahmed ; Ismail, Yousr
Author_Institution :
Center of Nanoelectron. & Devices (CND), American Univ. in Cairo/ Zewail City of Sci. & Technol., Cairo, Egypt
Abstract :
Growing concerns about environmental issues and the world energy crisis have attracted a great deal of interests for the development and application of the photovoltaic (PV) power system that uses the nonpolluting and the most abundant solar energy. This paper introduces a novel maximum power point tracking (MPPT) algorithm that is based on the fact that the PV power curve is similar to a parabolic curve in nature. The algorithm is implemented and validated on Simulink/MATLAB. The simulation results show enhancement in tracking time and accuracy in comparison to the Perturb and Observe (P&O) algorithm.
Keywords :
maximum power point trackers; photovoltaic power systems; solar power satellites; P&O algorithm; PV power curve; PV power system; Simulink-MATLAB; TPQA; energy crisis; environmental issues; maximum power point tracking; perturb and observe algorithm; photovoltaic power system; solar energy; three point quadrature approximation MPPT algorithm; Approximation algorithms; Equations; Mathematical model; Maximum power point trackers; Photovoltaic systems; Resistance; Software algorithms;
Conference_Titel :
Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on
Conference_Location :
Abu Dhabi
DOI :
10.1109/ICECS.2013.6815438
